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Journal of scientific & industrial research
Council of Scientific & Industrial Research
Journal of scientific & industrial research

Council of Scientific & Industrial Research

月刊

0022-4456

Journal of scientific & industrial research/Journal Journal of scientific & industrial researchSCI
正式出版
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    Ecological Niche Modelling of an Industrially Important Mushroom- Ganoderma lucidum (Leys.) Karsten: A Machine Learning Global Appraisal

    Mathur, ManishMathur, Preet
    1231-1249页
    查看更多>>摘要：Species Distribution Modelling (SDM) involves utilizing observations of a given species and its surrounding environment to produce a sound approximation of the species' potential distribution. The intricate relationships between organisms and their surroundings, coupled with the profusion of data, have captured the attention of ecologists and statisticians alike. Consequently, they have directed their efforts towards exploring the potential of machine learning techniques. Our study employs an ensemble machine learning approach to simulate the global ecological niche modelling of Ganoderma lucidum fungus. This involves the utilization of various environmental predictors and the averaging of multiple algorithms to achieve a comprehensive analysis. 563 spatially thinned presence points of G. lucidum were projected with three bio-climatic time frames, namely current, 2050, and 2070, and four Representative Concentration Pathways (RCPs), namely 2.6, 4.5, 6.0, and 8.5, as well as non-climatic variables (surface soil features, land use, rooting depth and water storage capacity at rooting zone). We observed excellent model qualities as the Area Under the receiver operating Curve (AUC) approached 0.90. Random Forest was identified as the best individual algorithm, while the Maxent entropy was identified as the least effective for Ecological Niche Modelling (ENM) of G. lucidum. Globally, under the current bio-climatic and non-bioclimatic projection, optimum habitat for this fungus covers 12510876.3 km2 area while, maximum area (13248546.9 Sq. km.) under this habitat class with future projections was recorded with RCP of 8.5 in 2070. The primary determinants of its current global distribution were ecosystem rooting depth, water storage capacity, and precipitation seasonality. While, with two future bioclimatic time frames and RCPs, Isothermality was identified as the most influential predictor. Based on our assessment, it has been determined that this particular fungus is exhibiting a persistent pattern of proliferation across the regions of Europe, America, and certain areas of India. The present investigation sought to underscore the importance of discerning the native habitats of this species, taking into account both current and anticipated climatic shifts. This knowledge is essential for effectively coordinating the artificial cultivation and natural harvesting of G. lucidum, which is necessary to meet the ever-increasing industrial demands.
      原文链接:
    • NETL
    • NSTL
    • Natl Inst Science Communication-Niscair

    Method Developments and Validation of Atorvastatin and Clopidogrel in Tablet dosage form by Miceller Liquid Chromatography

    Kumar, ManojPradhan, Subhalaxmi
    1250-1256页
    查看更多>>摘要：To avoid heart attacks and strokes, a combination of atorvastatin and clopidogrel is used. A cholesterol-producing enzyme is inhibited by the lipid-lowering medication atorvastatin. Atorvastatin helps in reducing the level of bad cholesterol, Low Density Lipoprotein (LDL) and increasing good cholesterol level, High Density Lipoprotein (HDL) in our body. An antiplatelet drug called clopidogrel reduces the risk of dangerous blood clots by preventing platelets from adhering to one another. A novel, straightforward, and precise approach was used to estimate atorvastatin and clopidogrel quantitatively in tablet formulation by Micellar Liquid Chromatography (MLC). The MLC is a green and eco-friendly technique in Chromatography where surfactant solutions played the role as the eluent above the Critical Miceller Concentration (CMC).The separation of drug formulation was carried out by Reversed Phase Liquid Chromatography (RP-HPLC) using a Deoxyprobe C18 column (4.6 x 250 mm, 5 mu m) with a mobile phase that contained 0.12M SDS and 10% Propanol-2 at a pH 3.7 maintained by o-Phosphoric Acid. The separation was performed at room temperature with an elution rate of 1.1mL/minat 220 nm. The retention time of atorvastatin is 2.3 while that of clopidogrel is 3.9 min. According to the schedule V of the drug and Cosmetic Act, the percentage composition of the sample under analysis ranged from 90 to 110%. The suggested procedure was in agreement with ICH requirements. In addition, the method was easy to use, affordable, safe, and non-harmful to the environment. It can be used for repetitive measurable estimation of atorvastatin and clopidogrel in tablets.
      原文链接:
    • NETL
    • NSTL
    • Natl Inst Science Communication-Niscair

    Comparative Characteristics and Potassium-Sulfur Release Behavior of Paddy Straw versus Banana Peduncle based Composite Biochar Produced by Co-pyrolysis with Phosphogypsum

    Biswas, KushalinduKumar, ManishKarim, Adnan AsadMaurya, Sonu...
    1257-1265页
    查看更多>>摘要：Co-pyrolysis of phosphogypsum and banana peduncle wastes was reported for the production of potassium-sulphur rich biochar composite fertilizer. However, large quantity of paddy straw are left out and fired on agricultural sites as waste, which required investigation for its alternative utilization for production of biochar composite. From this view, present work explored production of biochar composites from paddy straw mixed with phosphogypsum (4:1 ratio) by regulated co-pyrolysis process conditions such as temperature: 700 degrees C; heating rate: 10 degrees C/minute and residence time: 1 h for gaining biochar composite and also comparing physico-chemical characteristics, potassium-sulphur release behavior, kinetics with respect to banana peduncle mixed with phosphogypsum. Near neutral paddy straw (7.03) and alkaline banana peduncle biomass (8.53) converted into alkaline biochar (10.20 and 10.50) and composites (9.78 and 9.69) due to pyrolysis. The paddy straw biochar and composites retained relatively more carbon (%) i.e., 45.84 and 37.28 than banana based biochar 41.01 and 25.07. The phosphogypsum utilization enhances sulfur (6.65-7.66%) and calcium content (3.85-4.33%) in biochar composite. The potassium and sulphur leaching kinetic behavior fitted well with the second order kinetic model, indicating their slow-release aspect, which can contribute for long-term phyto-availability in soils.
      原文链接:
    • NETL
    • NSTL
    • Natl Inst Science Communication-Niscair

    Design and Evaluation of Rice Straw Bag Filling Machine for Oyster Mushroom (Pleurotus Florida) Cultivation

    ShashikumarKumaran, G. SenthilYadav, K. RajuPandey, Meera...
    1266-1274页
    查看更多>>摘要：Oyster mushroom (Pleurotus florida) is a simple, fast, and cost-effective variety for cultivation, requiring minimal substrate preparation time and production technology when compared to other edible mushrooms. Its popularity has soared due to its exceptional culinary taste and flavor, surpassing even the well-known button mushroom (Agaricus bisporus). As result, it has become highly recognized and preferred over button mushrooms in India. However, the current manual bag filling process of wet chopped rice straw substrate for Pleurotus florida cultivation is laborious and time-consuming, with limited bagging capacity. To address this challenge, a rice straw bag filling machine was designed and developed specifically for oyster mushroom cultivation. This machine comprises a main frame, truncated conical hopper, agitator, single flight tapered end screw conveyor, tubular trough, cylindrical drum, chain and sprocket drive mechanism, and an electric motor. The successful evaluation of this machine revealed that, the maximum bagging capacity of 293 bags/h was found at screw speed of 150 rpm and 200 mm pitch length for rice straw substrate.
      原文链接:
    • NETL
    • NSTL
    • Natl Inst Science Communication-Niscair

    Future Opportunities for Stakeholder Management in Construction Projects

    Bulgan, JibidTas, Elcin Filiz
    1275-1284页
    查看更多>>摘要：One of the main factors determining project success is the satisfaction of its stakeholders, although it is rarely mentioned in scientific research. When the stakeholder's needs are not met, there can be significant downfalls such as delays in delivery times, extra costs, and unsuccessful project outcomes. By improving stakeholder management, project success can be increased. There still is a lack of attention and research in this area and the limited research in this area is fragmented. The research usually focuses on case studies of a specific project by mapping its stakeholders or discussing the method of stakeholder management used in the project. Also, it has been observed that current technologies and opportunities for digitalization are not being actively used to improve stakeholder management. This study aims to bring together all this fragmented scientific research by analyzing and categorizing existing methods, defining current barriers, and making future suggestions for a holistic view of stakeholder management since unsatisfactory stakeholder management can negatively affect projects and result in project failures. With this purpose in mind, this paper initially creates a summary of current methods used in stakeholder management and discusses their limitations. In the second portion of this paper, future trends in stakeholder management are discussed. Improving stakeholder management would result in more successful projects, this could only be done by keeping up with up-to-date methodologies, following future trends, and taking advantage of current technologies which would be discussed in more detail in this paper.
      原文链接:
    • NETL
    • NSTL
    • Natl Inst Science Communication-Niscair

    The Mediating Role of Attitude Towards Intentional Buying of Counterfeit Goods: An Indian Consumer's Perspective

    Raj, RituVerma, SaurabhYadav, Sunil KumarYadav, Rakesh Kumar...
    1285-1294页
    查看更多>>摘要：The current study offers a conceptual framework for how consumer attitude for buying the counterfeit goods may mediates the relationship between consumer perceptions and their buying intentions to acquire the counterfeit goods in India. A hypothetical model is being proposed and validated through survey questionnaire. An overall sample size of 960 respondents were being selected from the different counterfeit markets of Delhi (India). To capture the true behavior of shoppers in the retail environment, face-to-face interviews were conducted utilizing the mall-intercept approach. The mediation model is validated through SPSS and PROCESS macro. According to the results, consumers' view of buying counterfeit goods has a favorable impact on their purchase intentions, and this effect is entirely mediated by customers' perception of buying counterfeit goods in India. This study is admissible to the present marketing environment because it offers brand makers and marketers insightful information that they can use to create strategies and regulations that will effectively sway customers' decisions to buy counterfeit goods in India.
      原文链接:
    • NETL
    • NSTL
    • Natl Inst Science Communication-Niscair

    An Exploratory Analysis of Public Perspectives towards Renewable Energy Sources in India

    Kumar, AneepChoudhary, Shobhna
    1295-1303页
    查看更多>>摘要：The aim of this research paper is to study and investigate the public perspectives and awareness level towards the Renewable Energy Sources (RESs) in India. A comparative analysis between the Fossil Energy Sources (FESs) and the RESs on various aspects is discussed. The total power generation, growth rate, its requirement, availability and deficit position over the last decade are discussed. The need of transiting from the conventional to the RE-based economy is also highlighted. Moreover, the challenges and barriers in this transition are debated. The importance of awareness and public perspectives in adopting the RESs is further presented. For this plan, a questionnaire based study was conducted. 1025 participants from all over India participated in this study. In response to a question, 90%, 95% and 96% participants from rural, semi urban and urban background, respectively agree with the statement: 'switch to RE is urgent need'. Another question is posted to see how many people agree or disagree with the statement, "Climate change is a critical issue that must be addressed." This statement is supported by 95% of semi urban and urban respondents and 92% of rural respondents.The result analysis shows that the participants have a sound knowledge of problematic aspects related to the FESs and hence they prefer the RESs for its solution. In answer to a question, 35% of females and 47% of males say they are willing to pay more for energy that comes from green sources. Furthermore, the participants comprehensively think that use of the renewables is the best way to deal with global warming. Additionally, the results clearly acknowledge that the urban, male and post graduate (PG) participants have more positive perspectives towards issues such as renewables urgent need, energy independency and willingness to pay more bills for the renewables. The current study provides a data set to the researchers for future studies in this area.
      原文链接:
    • NETL
    • NSTL
    • Natl Inst Science Communication-Niscair

    DCNN-HBA: Honey Badger Optimization and Deep Convolutional Neural Network Based a Novel Hybrid Model for Producing Quality Image

    Niu, SihanSingh, VineetaKumar, AlokVerma, Deepak Kumar...
    1304-1315页
    查看更多>>摘要：The processing of images is a major task in several domains like medical treatment, military, and surveillance. However, the major reasons, like environmental criteria and technical issues made the imperative information tainted. The blurriness represents degradations induced on the image that affected image contrast. There exist several techniques based on image enhancement to improve image quality, but most of these techniques are complex to examine and impose image degradation. An optimized deep technique is devised for producing quality pictures in which the input image is gathered from the database. The pre-processing is done utilizing the median filter to discard the artefacts as well as the noise accumulated in the images. The image enhancement is done with a Deep Convolutional Neural network (DCNN) and the weight update in DCNN is carried out with the Honey Badger Optimization Algorithm (HBA). Thus, the DCNN-HBA helps to enhance the quality of the image without any kind of degradation, like blurriness. The DCNN-HBA technique provides better results with the highest mutual information (MI), highest universal quality index (UQI), maximum UQI, and enhanced efficacy of image enhancement. The highest structural similarity index measurement (SSIM) is the maximum SSIM.
      原文链接:
    • NETL
    • NSTL
    • Natl Inst Science Communication-Niscair

    A Review of Deep Learning Strategies for Enhancing Cybersecurity in Networks

    Bhuvaneshwari, A. J.Kaythry, P.
    1316-1330页
    查看更多>>摘要：Rapid technological improvements have brought significant hazards to sensitive data and information. Cyberspace has connected various data structures, ranging from private communications/transactions to government activities. Cyberattacks are growing more complex which emphasizes the need to improve cybersecurity. Cyber security is more crucial as everything becomes more digital and as the number of connected devices keeps increasing. Cyber security techniques are used to keep networks, applications, and devices safe from intruders. Cloud and IoT technologies have expanded the complexity of computing, communication, and networking infrastructures, making cybercrime prevention more difficult. It takes a long time to develop threat recognition algorithms by the existing methods. Innovative strategies, like employing deep learning tools for cybersecurity, are anticipated to provide a solution to the issue. Deep learning approaches have many benefits which include the ability to solve complex problems quickly, high levels of automation, the best use of informal information, the capacity to generate excellent results at a lower cost, and the ability to recognize complex interactions. A diverse range of applications can be employed in deep learning models to make decisions based on predictions in the daily routine. The significant benefits of deep learning-enabled cyber security have improved security and reduced risks. The intensity of this systematic study provides consolidated knowledge about recent trends and serves as a foundation for future research in Deep learning-enabled Cybersecurity. This paper highlights the potential challenges and current cybersecurity issues with cutting-edge Deep Learning technologies.
      原文链接:
    • NETL
    • NSTL
    • Natl Inst Science Communication-Niscair